Triple

T8189916
Position Surface form Disambiguated ID Type / Status
Subject Meera Syal E191276 entity
Predicate parentOf P120 FINISHED
Object Maya Bhaskar
Maya Bhaskar is the daughter of British comedian, writer, and actress Meera Syal.
 E718198 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Maya Bhaskar | Statement: [Meera Syal, parentOf, Maya Bhaskar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maya Bhaskar
Context triple: [Meera Syal, parentOf, Maya Bhaskar]
  • A. Janina Gavankar
    Janina Gavankar is an American actress and musician known for her roles in television series such as "The L Word," "True Blood," and "The Morning Show," as well as for her work in video games and independent music.
  • B. Annet Mahendru
    Annet Mahendru is an American actress best known for her acclaimed role as Nina Sergeevna Krilova on the television series "The Americans."
  • C. Karthika Srinivas
    Karthika Srinivas is an Indian film editor known for his work in Telugu cinema, including editing the blockbuster film "Pushpa: The Rise."
  • D. Shailen Mukherjee
    Shailen Mukherjee was an Indian actor known for his role in Satyajit Ray’s acclaimed Bengali film "Charulata."
  • E. Shefali Chowdhury
    Shefali Chowdhury is a British actress best known for playing Parvati Patil in the Harry Potter film series.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Maya Bhaskar
Triple: [Meera Syal, parentOf, Maya Bhaskar]
Generated description
Maya Bhaskar is the daughter of British comedian, writer, and actress Meera Syal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maya Bhaskar
Target entity description: Maya Bhaskar is the daughter of British comedian, writer, and actress Meera Syal.
  • A. Janina Gavankar
    Janina Gavankar is an American actress and musician known for her roles in television series such as "The L Word," "True Blood," and "The Morning Show," as well as for her work in video games and independent music.
  • B. Annet Mahendru
    Annet Mahendru is an American actress best known for her acclaimed role as Nina Sergeevna Krilova on the television series "The Americans."
  • C. Karthika Srinivas
    Karthika Srinivas is an Indian film editor known for his work in Telugu cinema, including editing the blockbuster film "Pushpa: The Rise."
  • D. Shailen Mukherjee
    Shailen Mukherjee was an Indian actor known for his role in Satyajit Ray’s acclaimed Bengali film "Charulata."
  • E. Shefali Chowdhury
    Shefali Chowdhury is a British actress best known for playing Parvati Patil in the Harry Potter film series.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4da0e1288190b9c7c1d3b9a98830 completed March 31, 2026, 4:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced8da28c81909c34c0103da68f0f completed April 1, 2026, 10:03 a.m.
NEDg Description generation batch_69ccf1b5f95481909fdb08d00d06023e completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd059457788190a900402ee4cd50d5 completed April 1, 2026, 11:46 a.m.
Created at: March 30, 2026, 5:41 p.m.